商业银行特许权价值风险约束效应研究

从银行特许权价值的定义入手,利用样本银行1998～2007年的年度数据,阐述和分析了银行特许权价值的风险约束效应。研究结果表明,银行特许权价值对银行的风险行为有很强的约束效应,即拥有较高特许权价值的银行不会倾向于采取过度冒险的经营行为,而那些特许权价值较低的银行会增加冒险经营的动机。     

我国上市银行特许权价值风险自律效应的研究

银行特许权价值是银行作为一个特殊行业被赋予的一种获取未来租金收益的权力价值.本文以国内12家上市银行1997-2007年面板数据为基础,采用税前利润法计算特许权价值,构建多元线性回归方程进行实证分析,结果发现现存的隐性存款保险削弱了特许权价值对商业银行信用风险的约束作用,也就是说以政府的信用担保的全额保险,破坏了银行特许权价值对于银行信用风险的自律机制.     

我国上市银行特许权价值风险自律效应的研究

银行特许权价值是银行作为一个特殊行业所赋予的一种获取未来租金收益的权力价值。本文在国内12家上市银行1997-2007年面板数据的基础上,采用税前利润法计算特许权价值,构建多元线性回归方程进行实证分析,结果发现现存的隐性存款保险削弱了特许权价值对商业银行的信用风险的约束作用,也就是说以政府的信用担保的全额保险,破坏了银行特许权价值对于银行信用风险的自律机制。     

特许权价值、市场结构与银行风险承担

银行业的风险程度关系到整个经济体的稳定与发展,控制风险是银行经营的重要目标之一。目前对银行风险承担的研究主要从特许权价值和市场竞争的角度分别展开分析。本文以156家中国商业银行为研究对象,同时分析了银行特许权价值、市场竞争程度对银行风险的影响。通过实证分析,我们发现目前影响我国商业银行特许权价值的因素主要来自银行因素而非市场因素;在没有控制内生性的前提下,发现银行特许权价值有效地约束了银行风险,而市场竞争的加剧增加了银行风险行为;在控制银行风险和特许权价值内生性后,发现特许权价值对中国商业银行风险的约束效应基本不存在。因此,要维持银行业的稳定,需要规范银行的竞争行为,提高特许权价值的风险约束效应。     

我国上市银行特许权价值风险自律效应的研究

银行特许权价值是银行作为一个特殊行业所赋予的一种获取未来租金收益的权力价值。本文在国内12家上市银行1997-2007年面板数据的基础上,采用税前利润法计算特许权价值,构建多元线性回归方程进行实证分析,结果发现现存的隐性存款保险削弱了特许权价值对商业银行的信用风险的约束作用,也就是说以政府的信用担保的全额保险,破坏了银行特许权价值对于银行信用风险的自律机制。     

外资银行进入对我国商业银行特许权价值的影响

本文通过托宾Q法度量了我国上市银行的特许权价值,并利用计量模型检验了外资银行进入的资产份额和数量份额与上市银行特许权价值之间的关系。实证结果表明,外资银行进入的数量份额与上市银行特许权价值显著负相关,而资产份额与特许权价值却是显著正相关,且对特许权价值影响更大,特许权价值的提高可以促使银行冒险动机减弱,降低银行的风险。     

中国上市银行特许权价值的自律效应

银行特许权价值是银行风险自我约束的重要机制。本文使用托宾Q值衡量了中国14家上市银行的特许权价值,借助面板数据回归分析对银行特许权价值的自律效应进行了实证检验。结果表明:上市银行特许权价值对反映外部评价的市场风险确实存在着自律效应,但还未对表现为内部风险控制的资本充足率产生显著作用。因国家对银行业提供了全面担保,银行所有制性质对银行风险无显著影响。随着银行业竞争日趋激烈,通过引导商业银行提升特许权价值来激励银行审慎经营并加强内部风险控制,对后金融危机时期中国银行业的健康稳定发展具有积极意义。     

中国银行特许权价值的风险自律效应研究

将银行破产风险分解为经营不确定性与风险覆盖能力、杠杆风险与资产组合风险,建立动态面板模型并采用2003~2013年中国上市银行的数据和系统广义矩估计方法,分析特许权价值激励银行降低风险承担的途径和方式。研究发现：我国银行特许权价值具有抑制银行风险的自律效应,银行为避免过高风险而遭受监管惩罚或丧失市场资源,保持特许经营条件和优势,将进行积极的风险管理;特许权价值的风险自律效应主要通过促使银行提升风险覆盖能力、降低资产组合风险和杠杆风险来实现。     

对我国商业银行特许权价值形成要素的实证分析

特许权价值是银行具有的从受保护市场获取未来租金的牌照价值,由市场相关因素和银行相关因素决定.本文在5家上市银行1999-2006年的面板数据基础上,利用托宾Q的方法度量特许权价值,并构建多元线性回归模型,得知随着市场优势因素的弱化,特许权价值整体呈现下降的趋势,而银行内在效率是其稳定的关键,对于银行业的稳健经营具有重要意义.     

Q,Cash Flow and Investment: An Econometric Critique

The effects of measurement and specification error on estimates of the Q and cash flow model of investment are investigated. Two sources of error are considered: expensing of RcD expenditures and failing to identify that component of cash flow which relaxes financing constraints. We apply random-effects and instrumental variables estimators to a model that addresses these sources of error. We find that: (1) the capitalization of R& D strengthens the explanatory power of the model; (2) expected and unexpected components of cash flow have different effects; and (3) the effects of Q are much more evident in firms facing low costs of external finance.     

商业银行特许权价值的自律效应研究

特许权价值是商业银行具有的从受保护市场获取未来租金的牌照价值,通常情况下,具有相对较高特许权价值的银行为了避免破产,更有动力倾向于采取谨慎策略,因而其发挥着银行风险自律器的作用。通过银行风险行为的静态选择和动态选择视角,考证特许权价值的自律效应,对于后过渡时期的银行监管政策具有启发意义。     

Patent Citation, R&D Spillover, and Tobin's Q: Evidence from Taiwan Semiconductor Industry

Although prior research has examined the effect of patent citations on Tobin's Q in a variety of environments, in this study we examine whether the parameters are affected by stage of a company in the value chain. Unlike other national semiconductor firms, Taiwanese semiconductor firms typically specialize in one of the value-added activities, namely, either design or manufacturing or packaging and testing. Our finding is that the effect of patent citation on Tobin's Q is accentuated when the firm is at the front end of the value chain and diminishes as we proceed to the back end. This finding is novel in the literature. We also find that frequency of patent citations and R&D spillover are positive and significant in relation to Tobin's Q. In addition, the effect of R&D spillover on Tobin's Q is more pronounced for firms in the design sector relative to other sectors. JEL Classification: M41, O3 Authors are grateful for insightful comments and suggestions from an anonymous reviewer. Picheng Lee also gratefully acknowledges a research grant from Lubin School of Business at Pace University     

The Relation Between Patent Citations and Tobin's Q in the Semiconductor Industry

The market value of a firm is largely determined by the expected returns to the firm's tangible and intangible assets. However, accounting data generally excludes intangible assets. Financial variables which are constructed in part from accounting data, such as Tobin's Q, are thus biased. If measures of intangible capital are successful in explaining variation in Q, then a case can be made for incorporating such measures into future research. In high technology industries, such as the semiconductor industry, valuing a firm's intangible assets requires the valuation of its technological capital. Past studies have relied heavily on simple patent counts and research and development expenditures to quantify the technological component of a firm's intangible assets. This paper examines the ability of measures of intangible capital to explain variation in Q and considers an additional data source, patent citations. We find that stock variables created from citation data contain relevant information about the market's valuation of intangible assets.     

托宾的Q投资理论与资本市场均衡机制

传统的企业投资理论一直忽略了资本市场的作用,但是托宾的Q投资理论却把企业与资本市场有机地结合起来。本文对既有文献的理论脉络进行了简单的总结,在此基础之上评述了托宾的Q投资理论,并对该理论与资本市场的关系进行了更深的挖掘与探讨。文章的最后以美国资本市场为例,阐述了托宾Q理论是如何对资本市场均衡进行评价与验证的。     

Foreign Acquisitions and Managerial Discretion

Foreign acquisitions have been growingdramatically since the 1980s despite academic studiesshowing that shareholders of acquirers generally donot realize any significant gain. In this paper, weinvestigate whether foreign acquisitions aremotivated by managerial self-interest. Logisticregressions are performed to establish a link betweenforeign acquisitions and the acquirer's free cashflow. The results show that foreign acquisitions oflow-Q firms are strongly influenced by managerialdiscretion. In addition, acquisitions of low-Q firmsare conducted without consideration of theperformance of the acquirers. Foreign acquisitions ofhigh-Q firms, however, do not representoverinvestments.     

中国股票市场风险度量的模型选择与比较研究

分别采用等权移动平均方法、指教加权移动平均方法、GARCH(1,1)方法、GARCH(1,1)-t方法和Pareto型极值分布方法计算上海和深圳股票日收益率的VaR.向后检验表明,Pareto型极值分布方法比其他方法更能准确地反映我国股市的风险.